Previously, the narrative of Crypto x AI has aroused heated discussion and pursuit in the market. When it created a huge bubble, everyone began to question whether it was just an illusion. Even though there are no real and usable Web3 applications that combine AI technology, this integration is undoubtedly expected.
However, it is foreseeable that the combination of Web3 and AI technology can bring great potential, whether in finance (DeFi), security, user experience, content creation or governance.
Focusing on the field of decentralized finance, AI technology can help DeFi protocols complete risk assessment and management, improve market liquidity, and automate governance and decision-making processes, thereby improving user experience.
For users, AI can not only predict asset price fluctuations, but also play an auxiliary role in investment decisions, and most importantly, it can identify various potential frauds.
But in the final analysis, how to better build AI on the blockchain is the premise of all beautiful ideas. The launch of the super-parallel computer AO has created optimistic conditions for the implementation of Crypto x AI applications.
AO is built on Arweave. This combination of unlimited computing + storage can carry large-scale, high-performance AI models and can achieve full application on-chain. At the same time, AO officials predicted on the media platform that when AI applications are deployed on AO, AgentFi (AI agent finance) will rise.
What is AgentFi?
AgentFi is an AI agent-based financial service that aims to use on-chain artificial intelligence agents to execute smart contracts, thereby achieving trustless smart execution. In AgentFi, AI agents play a key role, including the following early examples:
"Regular Investment"Agent: An AI agent that can be customized to invest in specific financial assets regularly and in fixed amounts, helping to diversify risks and achieve asset growth in the long term.
"Automatic Portfolio Balancing"Agent: An AI agent that automatically adjusts the weights of different assets in a portfolio according to preset rules to ensure that it meets the investor's risk preferences and investment goals.
"Smart Trading"Agent: Replaces traditional financial fund managers and uses big data analysis, machine learning and other technologies to automatically execute trading strategies without permission to maximize investment returns.
The three examples range from simple to complex, without the need to trust a third party or human asset manager, providing users with a new financial service model. Of course, the possibilities of AgentFi are not limited to this. Furthermore, although the examples presented are all "old wine in new packaging".
But the greatest significance of introducing AI technology is that humans can interact with computers through natural language, without having to learn obscure computer languages and cumbersome investment operations.
It is reported that the Arweave community is working hard to build the AgentFi application based on AO, which will be available to the public in the near future.
Will the best investors in the future no longer be humans?
In the future global economy driven by artificial intelligence, AI robots will become the Warren Buffett of this era, which seems to be an irreversible trend.
These AI agents will no longer be limited by human cognitive abilities. They will be able to process massive data to continuously learn in depth, and capture emotions from news and social media headlines, and even analyze the words and tone of Federal Reserve Chairman Jerome Powell in monetary policy meetings.
Then combine all the complex factors to make the final investment decision. Or open your imagination, AI is more likely to create unprecedented financial strategies in the future.
With the implementation and development of AgentFi applications, the financial market will be reshuffled, and AO will be the engine driving this revolution. Embrace AI and AgentFi to better adapt to this changing investment environment.